The current development version of
hesim now provides a general framework for integrating statistical models with economic evaluation. Users can build a decision model by specifying a model structure, which consists of a set of statistical models for disease progression, utilities, and costs. Each statistical model is used to simulate outcomes as a function of estimated parameters and input data. N-state partitioned survival models (PSMs) and individual-level continuous time state transition models (iCTSTMs) are now supported.
Economic models—which combine the disease, utility, and cost models—can be constructed with the following classes:
Disease models are constructed using the classes:
PsmCurves()to simulate survival curves for each endpoint of interest
IndivCtstmTrans()to simulate health state transitions with a iCTSTM
Utility and cost models are constructed with the
See the introduction for more details.